MSBA Business Analytics with SAS Workshop
This Business Analytics with SAS Workshop aims to teach students concepts and related state of the art software from two out of the three stages of data exploitation i.e. business intelligence and business analytics (the first stage is data management) and how they can help organizations become more efficient and more effective in their decisions making processes.
Data management is related to accessing data from various data sources scattered around the organization, processing and manipulating them and applying data quality techniques so as to bring them in a format suitable for decision making purposes. Then data can be exploited by business intelligence and business analytics techniques.
Business intelligence is related to reporting and visualization to support decision making by performing the so-called Exploratory Data Analysis to find patterns, trends and associations in data, identify problematic data that need cleaning and curation, disseminating past information throughout the organization and communicating the outcomes of Business Analytics. The decision support tool that will be used for this section is SAS Visual Analytics on SAS Viya.
Business analytics is related to mathematical and statistical techniques to support organizations make informed decisions. It is the union of two subfields that draw their roots from statistics and operations research. This course will focus on machine learning and forecasting techniques and the decision support tool that will be used for this section is SAS Visual Data Mining and Machine learning and SAS Visual Forecasting on SAS Viya.
By the end of the course you will learn about building an analytical framework for business decision-making that will help you:
- Increase response rates, customer loyalty, and ultimately ROI, by contacting the right customers with highly relevant offers and messages.
- Reduce campaign costs by targeting customers most likely to respond.
- Deliver the right message by segmenting customers more effectively and better understanding target populations.
- Make informed “next best offer” related decisions.
- Forecast demand and perform the so-called demand shaping by using techniques such as promotional modelling and price elasticity – optimization.
- Visualize data to aid the decision-making process by finding useful patterns, trends and associations.
This workshop will be delivered by Andreas Zaras and runs 31 May – 2 Jun between 14:00-17:00 each afternoon.
Previous SAS software experience is not required.
Please note: This workshop runs across three days (14:00 - 17:00 each day) and students are expected to attend ALL three sessions.
The deadline to register is Thursday 25 May 2023, at 12:00 midday (UK time).
IMPORTANT:
Once you have registered you will be given access to the dedicated mywbs workshop space - IBSAS0
- Before the beginning of the workshop you must register to SAS Viya for Learners (the educational suite of SAS Viya platform) using your university e-mail. Further instructions will be available on the dedicated mywbs workshop space regarding SAS Viya Registration.
- During the workshop you must have your laptop with you (PC or Mac with an internet browser installed) that should be connected to the internet.
- Before attending this workshop you should be acquainted with Windows based software.